Top AWS Jobs in Pune

As a Senior Backend Engineer, you will develop and maintain backend systems, collaborate with frontend teams, and leverage AI for finance solutions.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The Support & Implementation Engineer will implement solutions, troubleshoot customer issues, ensure technical documentation accuracy, and collaborate with engineering teams.

Design, build, and optimize clean‑core SAP S/4HANA extensions and ABAP services. Implement RAP, CDS modeling, OData services, BTP integrations, event‑driven ABAP, security, performance tuning, cross‑stack collaboration, and mentor engineering teams.

The Senior Site Reliability Engineer will manage cloud infrastructure, develop internal DevOps tools, and enhance automation for application deployment and management.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The Cloud Engineer will enhance AWS cloud infrastructure, focusing on multi-account governance, IAM security, and Infrastructure as Code automation while ensuring operational excellence and compliance with security standards.

The Technical Marketing Engineer will create technical content, demonstrate products, engage with developers, collaborate cross-functionally, and support marketing initiatives.

Provide advanced technical support for Business Hub and Analytics Platform: troubleshoot application, system, and integration issues; analyze logs and SQL data; work with identity providers and cloud/Kubernetes/JVM environments; collaborate with development teams; improve support processes and participate in on-call rotations.

The Infrastructure Engineer will enhance IAC, CI/CD pipelines, and scalable cloud infrastructure while collaborating with multiple teams on incident response and observability solutions.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

The role involves planning, writing, and executing end-to-end automatic tests for complex features using Java and Selenium, primarily in an agile environment for AlgoSec's new SaaS product.

Design, deploy, and maintain highly available, secure cloud platforms; support CI, automation, monitoring, and migrations of legacy systems to AWS; resolve performance, vulnerability, and scalability issues; create operational documentation and collaborate with stakeholders.

Join Komodo Health as a Senior Platform Engineer to build and operate scalable cloud infrastructure, develop APIs, manage Kubernetes clusters, and automate workflows while leveraging AI tools for enhanced productivity.

Build end-to-end infrastructure for AI agents: design React/TypeScript UIs, implement Python agent harnesses, develop Kubeflow-based MLOps pipelines, fine-tune foundation LLMs (LoRA/QLoRA/SFT/RLHF), deploy and operate services on Kubernetes, integrate agent frameworks, and apply software engineering best practices, testing, and CI/CD.

Design and implement production-grade AI agent harnesses, build and operate MLOps pipelines with Kubeflow, fine-tune foundation LLMs (LoRA/QLoRA, SFT, RLHF), deploy and manage services on Kubernetes, integrate agent frameworks, and apply software engineering best practices to move models from prototype to production.

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

Develop and maintain AI systems for a financial platform, focusing on LLM pipelines, ML model serving, backend integration, and collaboration with engineering teams.

Administer and govern the Snowflake-centered data platform and related tools (Databricks, Fivetran, dbt, Airflow, Monte Carlo). Optimize performance, implement data security (dynamic masking, RLS, SSO/SAML), automate operations with Python/SQL, monitor costs and resource usage, and optionally manage Tableau Cloud.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

Lead design, development, and deployment of scalable ML models and MLOps infrastructure on AWS (SageMaker). Build recommendation, fraud, and credit risk systems; implement monitoring, observability, CI/CD, and production support; mentor engineers and collaborate with product teams to deliver AI-driven features.